@Article{info:doi/10.2196/jmir.2278,
author="Emani, Srinivas
and Yamin, K. Cyrus
and Peters, Ellen
and Karson, S. Andrew
and Lipsitz, R. Stuart
and Wald, S. Jonathan
and Williams, H. Deborah
and Bates, W. David",
title="Patient Perceptions of a Personal Health Record: A Test of the Diffusion of Innovation Model",
journal="J Med Internet Res",
year="2012",
month="Nov",
day="05",
volume="14",
number="6",
pages="e150",
keywords="Personal health record (PHR)",
keywords="perceptions",
keywords="innovation",
keywords="electronic health records (EHRs)",
keywords="meaningful use",
abstract="Background: Personal health records (PHRs) have emerged as an important tool with which patients can electronically communicate with their doctors and doctor's offices. However, there is a lack of theoretical and empirical research on how patients perceive the PHR and the differences in perceptions between users and non-users of the PHR. Objective: To apply a theoretical model, the diffusion of innovation model, to the study of PHRs and conduct an exploratory empirical study on the applicability of the model to the study of perceptions of PHRs. A secondary objective was to assess whether perceptions of PHRs predict the perceived value of the PHR for communicating with the doctor's office. Methods: We first developed a survey capturing perceptions of PHR use and other factors such as sociodemographic characteristics, access and use of technology, perceived innovativeness in the domain of information technology, and perceptions of privacy and security. We then conducted a cross-sectional survey (N = 1500). Patients were grouped into five groups of 300: PHR users (innovators, other users, and laggards), rejecters, and non-adopters. We applied univariate statistical analysis (Pearson chi-square and one-way ANOVA) to assess differences among groups and used multivariate statistical techniques (factor analysis and multiple regression analysis) to assess the presence of factors identified by the diffusion of innovation model and the predictors of our dependent variable (value of PHR for communicating with the doctor's office). Results: Of the 1500 surveys, 760 surveys were returned for an overall response rate of 51\%. Computer use among non-adopters (75\%) was lower than that among PHR users (99\%) and rejecters (92\%) (P < .001). Non-adopters also reported a lower score on personal innovativeness in information technology (mean = 2.8) compared to 3.6 and 3.1, respectively, for users and rejecters (P < .001). Four factors identified by the diffusion of innovation model emerged in the factor analysis: ease of use, relative advantage, observability, and trialability. PHR users perceived greater ease of use and relative advantage of the PHR than rejecters and non-adopters (P